MARC details
000 -LEADER |
fixed length control field |
01770nam a22002657a 4500 |
001 - CONTROL NUMBER |
control field |
sulb0076438 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
BD-SySUS |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20211208165322.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
211208s2019 enk b 001 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781108422093 (hardback : alk. paper) |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
DLC |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
DLC |
Modifying agency |
BD-SySUS |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Edition number |
23 |
Classification number |
620.00285631 |
Item number |
BRD |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Brunton, Steven L. |
Fuller form of name |
(Steven Lee), |
Dates associated with a name |
1984- |
Relator term |
author. |
9 (RLIN) |
10987 |
245 10 - TITLE STATEMENT |
Title |
Data-driven science and engineering : |
Remainder of title |
machine learning, dynamical systems, and control / |
Statement of responsibility, etc. |
Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington. |
263 ## - PROJECTED PUBLICATION DATE |
Projected publication date |
1809 |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Cambridge : |
Name of producer, publisher, distributor, manufacturer |
Cambridge University Press, |
Date of production, publication, distribution, manufacture, or copyright notice |
©2019. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxv, 472 p. : |
Other physical details |
ill. ; |
Dimensions |
26 cm. |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
"Data-driven discovery is revolutionizing the modelling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modelling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Aimed at advanced undergraduate and beginning graduate students in the engineering and physical sciences, the text presents a range of topics and methods from introductory to state of the art"-- |
Assigning source |
Provided by publisher. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Engineering |
General subdivision |
Data processing. |
9 (RLIN) |
38268 |
|
Topical term or geographic name as entry element |
Science |
General subdivision |
Data processing. |
9 (RLIN) |
38269 |
|
Topical term or geographic name as entry element |
Mathematical analysis. |
9 (RLIN) |
38270 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Kutz, Jose Nathan, |
Relator term |
author. |
9 (RLIN) |
38271 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Books |